Big Data. Big Decisions
InformationWeek
Special Coverage Series


Microsoft: Google Shoppers Get 'Scroogled'

Microsoft says consumers should use Bing because Google Shopping's pay-to-play program skews results.

So much for peace on earth. Microsoft has launched a holiday season offensive against Google, claiming that search results on its rival's shopping site are bought and paid for.

"Google’s new redesigned shopping vertical now decides what to show you -- and how prominently to display what product offers they show -- based partially on how much a merchant selling the product has paid Google," Microsoft said.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

This refers to new rules that Google adopted for its shopping site. Google Shopping now charges merchants who participate in its Product Listing Ads program fees on a per-click or cost-per-acquisition basis. The enhanced results include product images, prices and merchant information.

[ What isn't Microsoft saying about Windows 8 sales? See Microsoft's Windows 8 Numbers Meaningless. ]

Google makes no bones about the program. "This new product discovery experience will be called Google Shopping and the transition will be complete this fall," the search giant stated in a recent blog post. "We believe that having a commercial relationship with merchants will encourage them to keep their product information fresh and up to date."

"Higher quality data—whether it’s accurate prices, the latest offers or product availability—should mean better shopping results for users, which in turn should create higher quality traffic for merchants," Google's post said.

Microsoft begs to differ. Google's pay-to-play program means the results that potential shoppers get will be based more on what merchants are willing to pony up than on query relevancy, Microsoft said.

"Merchants can literally pay to improve their chances to display their product offers higher than others inside of Google’s shopping 'search,' even if it’s not necessarily better or cheaper," Microsoft said. "That’s not right, it’s not transparent, it’s not what you expect from search, and it’s not how we at Bing think search engines should help consumers get the best prices and selection when shopping."

Microsoft said it maintains a hard line between Bing ads and Bing search results. "We won’t let who pays us for ads or other services affect what you see in your shopping search results. Search results are one thing; ads are another."

Microsoft has launched a marketing campaign that warns online shoppers searching for the best bargains on Google that they might be getting "Scroogled."

"We won’t switch to pay-to-rank to allow fees to influence the ranking of shopping search results. In short, we think that too many shoppers who use Google for their shopping are getting "Scroogled" when they should be getting fair, honest, open search results," the company said.

Microsoft is looking to put a dent in Google's stranglehold on the search market. Google held 66.9% of the U.S. search market as of October, according to the latest data from Comscore, compared to just 16% for Microsoft.

Upgrading isn't the easy decision that Win 7 was. We take a close look at Server 2012, changes to mobility and security, and more in the new Here Comes Windows 8 issue of InformationWeek. Also in this issue: Why you should have the difficult conversations about the value of OS and PC upgrades before discussing Windows 8. (Free registration required.)



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.